Two-sample estimation of poverty rates for disabled people: an application to Tanzania
AbstractEstimating poverty measures for disabled people in developing countries is difficult,partly because relevant data are not available. We develop two methods to estimate poverty by the disability status of the household head. We extend the small area estimation proposed by Elbers, Lanjouw and Lanjouw (2002, 2003) so that we can run a regression on head's disability status even when such information is unavailable in the survey. We do so by aggregation and by moment adjusted two sample instrumental variable estimation. Our results from Tanzania show that both methods work well, and that disability is indeed associated with poverty.
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Bibliographic InfoPaper provided by Singapore Management University, School of Economics in its series Working Papers with number 02-2008.
Length: 35 pages
Date of creation: Jan 2008
Date of revision:
Publication status: Published in SMU Economics and Statistics Working Paper Series
Other versions of this item:
- Tomoki Fujii, 2008. "Two-sample estimation of poverty rates for disabled people : an application to Tanzania," Microeconomics Working Papers 22420, East Asian Bureau of Economic Research.
- C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
- I10 - Health, Education, and Welfare - - Health - - - General
- I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Elbers, Chris & Lanjouw, Peter F. & Mistiaen, Johan & Ozler, Berk & Simler, Ken, 2004.
"On the unequal inequality of poor communities,"
Policy Research Working Paper Series
3313, The World Bank.
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